Name		Name	Last commit message	Last commit date
.env.example		.env.example
.gitignore		.gitignore
README.md		README.md
ad_impression.py		ad_impression.py
arpdau.py		arpdau.py
cohort_size.py		cohort_size.py
config.py		config.py
cost.py		cost.py
ecpi.py		ecpi.py
ecpi_network.py		ecpi_network.py
ecpm_network.py		ecpm_network.py
ltv_ad_cumulative.py		ltv_ad_cumulative.py
ltv_cumulative.py		ltv_cumulative.py
requirements.txt		requirements.txt
retention.py		retention.py
revenue.py		revenue.py
revenue_ad.py		revenue_ad.py
revenue_all.py		revenue_all.py
revenue_cumulative.py		revenue_cumulative.py
roas.py		roas.py
roas_ad.py		roas_ad.py
roas_cumulative.py		roas_cumulative.py
roas_iap.py		roas_iap.py
session.py		session.py

Repository files navigation

Adjust API → BigQuery Pipeline

Python-based ETL project that pulls marketing and monetization data from the Adjust API and loads it into Google BigQuery.

Overview

This project automates data extraction for key analytics metrics:

ROAS
Revenue (IAP + Ad)
Retention
LTV
Cohort Size
Sessions
ARPDAU
Cost / CPI / eCPM

Each script:

Calls Adjust API
Converts data into pandas DataFrame
Cleans and formats data
Uploads to BigQuery

Tech Stack

Python
pandas
requests
Google BigQuery
Adjust API

Example Usage

python session.py
python retention.py
python roas_cumulative.py

About

Python ETL scripts that pull Adjust API metrics and load them into Google BigQuery for marketing and monetization analytics.

adjust analytics bigquery etl marketing python

0 stars

0 watching

Report repository

Releases

Packages

Contributors

Languages